AIMC Topic: Radiation Monitoring
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Bagged neural network model for prediction of the mean indoor radon concentration in the municipalities in Czech Republic.
Journal of environmental radioactivity
Jul 18, 2016
The purpose of the study is to determine radon-prone areas in the Czech Republic based on the measurements of indoor radon concentration and independent predictors (rock type and permeability of the bedrock, gamma dose rate, GPS coordinates and the a...
Remediating radium contaminated legacy sites: Advances made through machine learning in routine monitoring of "hot" particles.
The Science of the total environment
Apr 3, 2015
The extensive use of radium during the 20th century for industrial, military and pharmaceutical purposes has led to a large number of contaminated legacy sites across Europe and North America. Sites that pose a high risk to the general public can pre...
Machine learning-based estimation of occupational radiation dose in interventional cardiology.
Radiation protection dosimetry
Jul 24, 2025
In interventional cardiology, occupational radiation exposure for medical personnel can reach high levels, underscoring the critical need for effective radiation protection and monitoring methods. This study employs machine learning algorithms to est...
Prediction methodology of air absorbed dose rates for Chinese cities with deep learning models.
Journal of environmental radioactivity
Jun 1, 2025
Air absorbed dose rate is a key indicator of environmental radiation exposure. In China, automated environmental radiation monitoring systems have been established in multiple cities to continuously measure air absorbed dose rates. Nevertheless, deve...
Rapid assessment of cosmic radiation exposure in aviation based on BP neural network method.
Radiation protection dosimetry
Jun 18, 2024
Cosmic radiation exposure is one of the important health concerns for aircrews. In this work, we constructed a back propagation neural network model for the real-time and rapid assessment of cosmic radiation exposure to the public in aviation. The mu...
DEVELOPMENT OF A ROBOT FOR THE MEASUREMENT OF RADIOACTIVE CONTAMINATION AND FERTILITY OF THE SOIL IN FARMLAND.
Radiation protection dosimetry
Sep 9, 2022
A tractor-based robot with the capability of real-time assessing and visualizing the radioactive material density and fertility distribution of farmlands has been developed to accelerate the recovery process of the farmlands suffered by the accident ...
LOCALIZATION OF IONIZING RADIATION SOURCES VIA AN AUTONOMOUS ROBOTIC SYSTEM.
Radiation protection dosimetry
Dec 31, 2019
The article discusses an autonomous and flexible robotic system for radiation monitoring. The detection part of the system comprises two NaI(Tl) scintillation detectors: one of these is collimated to allow directionally sensitive measurements and the...
IMPROVEMENT OF DOSE ESTIMATION PROCESS USING ARTIFICIAL NEURAL NETWORKS.
Radiation protection dosimetry
Jul 1, 2019
We present here for the first time a fast and reliable automatic algorithm based on artificial neural networks for the anomaly detection of a thermoluminescence dosemeter (TLD) glow curves (GCs), and compare its performance with formerly developed su...
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